We help fintech founders, wealth-tech teams and regulated banks ship secure, AI-powered robo-advisor platforms that automate portfolios, profile risk and stay compliant from day one. From custom builds to white-label deployments and API-only integrations, we build automated investment management products that scale to real AUM.
PCI DSS
KYC
GDPR
Trusted by industry leaders
Certifications and Accreditations
End-to-end build for fintech firms that need a differentiated investment experience and want to own the platform, IP and roadmap. We design the portfolio engine, risk model, onboarding, KYC/AML flow and admin tools from scratch, and we plug into your custodian, market data provider and brokerage stack.
A faster path for banks, wealth firms and neo-investment startups that want to launch a white-label robo advisor platform in months rather than quarters. We deliver a configurable robo-advisor platform branded for your firm, with your custodian integrations, your fee model and your compliance disclosures. You own the customer relationship; we take care of the engine.
For teams that already have an app and need a smarter recommendation layer powered by AI portfolio optimization. We build the AI engine: predictive portfolio optimization, behavioral scoring, glide-path adjustments, market-regime detection and personalized nudges. Engine-only or fully integrated.
.svg){kind=icon}
Retirement, home, education, freedom. We build the goal modeling, projection engine, scenario simulator and progress tracker that make modern investing apps feel like a coach instead of a brokerage screen. Higher engagement, longer retention, more AUM per active user.
The model wirehouses and RIAs are converging on. We build the dual interface: a self-serve robo flow for your mass-affluent clients and a CRM-integrated advisor cockpit for your human team. Shared portfolio logic, separate touchpoints, one compliance trail.
If your team is already strong on UI but needs the financial brain, we deliver the robo-advisor as a set of APIs and SDKs: portfolio construction, rebalancing, tax-loss harvesting, risk profiling, performance reporting. Drop it into your existing app, broker dashboard or banking super-app.
In a 30-minute call we'll map your AUM goal, regulatory perimeter and timeline to the build approach that gets you to launch fastest.
Talk to a Robo-Advisor ArchitectThe biggest cost in robo-advisor development is choosing the wrong build path. Use this as a starting frame for that decision.
| Dimension | Custom Build | White-Label | Hybrid / API |
| Time to launch | 4 to 8 months | 8 to 14 weeks | 6 to 12 weeks |
| IP ownership | Full | Configuration only | Your app + our engine |
| Best for | Differentiated direct-to-consumer or B2B fintech, ambitious AUM goals, multi-year roadmap | Banks, wealth firms, neo-investment startups validating a market | Existing apps, super-apps, banks adding investment to a money product |
| Cost band | Higher upfront, lower per-account at scale | Lower upfront, recurring license | Mid upfront, usage-based engine fees |
| Customization ceiling | Unlimited | Limited to vendor roadmap | Front-end yours, engine constrained |
| Compliance accountability | You + us, jointly designed | Configured to your jurisdiction | Shared, mapped to engine boundaries |
Institutional and B2B buyers (RIAs, banks, asset managers) typically blend Custom Build with investment management software development components: portfolio construction logic stays in-house, the client-facing app is custom, and back-office integrations are the longest part of the timeline.
A production-grade robo-advisor app needs more than basic portfolio automation. It must handle real-time data, ensure regulatory compliance, deliver personalized investment strategies, and maintain high reliability under scale, all while providing a seamless and intuitive user experience.
Threshold-based, calendar-based or hybrid rebalancing logic supports real-time portfolio rebalancing. Tax-aware execution and transaction-cost optimized routing keep portfolios on target. Every action is audit-logged so your compliance team can reconstruct any trade.
Personalized recommendations powered by predictive analytics on user behavior, market regime and historical returns. Built on the same AI software development solutions stack we use for production AI systems across enterprise software.
A multi-factor risk model combining financial capacity, behavioral tolerance and life-stage signals to produce a defensible, regulator-ready score. Each profile maps cleanly to a portfolio you can fully document.
.svg){kind=icon}
Probabilistic goal projections using Monte Carlo or analytic methods, paired with milestone tracking and adaptive recommendations. The system adjusts automatically as the user’s life, income or risk appetite changes.
Tax-loss harvesting, asset-location optimization across taxable and tax-advantaged accounts, and withdrawal sequencing built in. Each rule is configurable per jurisdiction so multi-region launches work without re-architecting the engine.
Securely aggregate external bank, brokerage and retirement accounts via Plaid, Yodlee or MX. A whole-of-wealth view increases engagement, retention and the share of investable assets your platform actually captures.
Identity verification, sanctions screening, ongoing monitoring and SAR-ready audit trails. Pluggable providers like Onfido, Jumio and Sumsub mean you can switch vendors as pricing or coverage changes without re-architecting.
Streaming market data via Kafka or equivalent, with intra-day rebalancing and a fail-safe fallback to delayed feeds. Designed to support retail-frequency and institutional-frequency use cases on the same architecture.
A robo-advisor application can cost between $30,000 and $300,000 or more, depending on the complexity, artificial intelligence, integrations, and regulations.
Provide your requirements to receive a precise, customized estimate of your project.
Architecture and workflows mapped to SEC and FINRA rules (US), MiFID II and ESMA guidelines (EU), FCA Conduct rules (UK), MAS guidelines (Singapore), and ASIC RG 255 (Australia). We do not file your registrations, we make sure your code, logs and disclosures support them.
GDPR, CCPA and APPI alignment. Data residency configurable per region. Right-to-erasure workflows built in. Privacy-by-design documented for your DPO.
AES-256 at rest, TLS 1.3 in transit. Customer-managed keys via AWS KMS, Azure Key Vault or GCP KMS. PII tokenization for analytics environments.
Role-based access control, just-in-time elevation, MFA enforced for all admin paths, SSO via SAML and OIDC. Session and device fingerprinting, where the regulator requires it.
Immutable audit logs, regulator-ready report generation (Form ADV-equivalent inputs, suitability documentation, trade reconstruction). SIEM integration ready.
ISO 27001 and SOC 2 aligned controls, vulnerability scanning in CI/CD, dependency management, penetration test windows planned into the roadmap.
Investment thesis review, target-user interviews, regulatory perimeter mapping, integration audit. Output: a written product brief, prioritized feature list and risk register your team can sign off on.
Information architecture, user flows for onboarding and risk profiling, advisor cockpit wireframes, design system. Output: clickable Figma prototype tested with 5 to 8 users from your target segment.
Two-week sprints. Working software at the end of every sprint. Compliance and security stories on the same backlog as feature stories, not bolted on at the end.
Penetration testing, regulator-ready documentation, runbooks, on-call handover, soft launch with a controlled cohort, then full GA. Output: a system your CTO and your CCO can both endorse.
Post-launch retainer for performance, new features, model retraining and regulatory updates. Most clients move into a 3 to 6 month iteration block right after GA.
You have a clear brief. We give a written proposal with milestones, costs and acceptance criteria. Best for MVPs and well-scoped feature sets.
We assemble a senior pod (architect, full-stack engineers, AI/ML engineer, QA, designer, PM) that delivers fintech app development services as an extension of your team for a fixed monthly engagement. Best for ongoing roadmaps and platforms.
Specific roles, fast. Senior fintech engineers integrated into your existing process and tooling. Best when you need depth in a particular area (AI/ML, integrations, security) without rebuilding internal hiring pipelines.
Every robo-advisor build is led by engineers with shipped fintech work. We do not put junior teams on regulated products.
We build to interfaces, not to a single vendor. If you need to swap your custodian or aggregator in two years, your code base will not punish you for it.
Full ownership of code, models, data pipelines, and architecture is defined upfront. Everything is documented and contractually secured in the MSA before development begins.
Mutual NDA before the discovery call. Investment models, alpha-generation logic and customer data flows stay protected even during scoping.
We do not file your registrations. We do build the system so your CCO, your auditor and your regulator can all reconstruct what happened to any account on any day.
Robo-advisors are not a launch event, they are a 3-to-5-year platform. Most of our fintech clients are still working with us three years in.
Their agile way of working, competence, and friendliness are impressive.December 7, 2024
Citrusbug Technolabs handles a data extraction project for an education company. They're also responsible for managing an AI generation project for the client.
Citrusbug Technolabs has laid out and followed a clear project outline and consistently met deadlines. The team communicates well and demonstrates a strong understanding of the client's vision and goals. Their agile approach, high level of competence, and personable approach stand out.
Read More
Their communication and ability to capture exactly what I was asking for were impressive.November 14, 2024
Citrusbug Technolabs built an automated system for a veteran medical company. The system needed to collect and store user data, generate customized letters based on surveys, and use AI to summarize reviews.
Citrusbug Technolabs delivered a functional automated system that successfully organized the client's records and auto-generated statements. The team was quick to respond, addressed all roadblocks, and communicated effectively. Overall, their ability to understand the client's needs stood out.
Read More
They were very calm and talented, and they did bring some of their own ideas.January 28, 2025
Citrusbug Technolabs has developed an MVP for a freight and capacity marketplace. The team has created three different interfaces for three market segments.
Citrusbug Technolabs has successfully developed an effective MVP. The team has delivered the project on time and almost within budget. Moreover, their responses have been timely. Overall, the team has been calm, talented, and innovative. This has led to the client's satisfaction.
Read More
What stood out most about them was their personalized approach and sense of ownership in every aspect of the project."February 27, 2024
Citrusbug Technolabs built a Flutter cross-platform mobile app for an education company. They also developed two web apps and an admin panel and provided DevOps support for the client's infrastructure.
Citrusbug Technolabs' support successfully boosted the client's user engagement by 8x, resulting in an 85% retention rate. The reliable team demonstrated a dedication to delivering on time and promptly responding to concerns and adjustments. Their personalized, client-centric approach stood out.
Read More
They didn't like the phrase "impossible to do", which made them very solution-oriented.February 19, 2024
A healthcare company hired Citrusbug Technolabs to design and develop a user-friendly application. The team provided tailored assistance to meet the client's requirements.
Citrusbug Technolabs successfully delivered an application that was ready for market. The team was highly professional and well-organized; they stayed focused throughout the engagement and were receptive to changes. Overall, they stood out for their trustworthiness and commitment to excellence.
Read More
They're 100% on time and transparent throughout each stage of the project.February 24, 2024
A financial technology company has hired Citrusbug Technolabs to build a custom web application. The team handles the development and design of the app.
The project is ongoing, but the client has been satisfied with Citrusbug Technolabs' services. The team is very professional — they always respect timelines and provide regular updates to ensure everyone's on the same page. Also, their transparent approach makes them a trustworthy partner.
Read More
"I do believe they are exceptional at where they stand."
Citrusbug Technolabs took on a mobile app development project for a Singapore-based development house. They were provided with UX designs to execute. Currently, they're finalizing and fine-tuning the product.
Citrusbug Technolabs contributed to the successful launch of the product, which has garnered over 10,000 users in just three months. The product has also received support from investors. They consistently followed-up with their progress and delivered at a speedy rate. The team is truly stellar.
Read More
Prolendly is a FinTech SaaS platform that connects startups and small businesses with funding opportunities, lenders, and capital consulting resources.
Read Case Study
Cicada is a comprehensive trading platform designed for accessible and powerful financial market interaction.
Read Case Study
Clover Mortgage Brokers provides tailored mortgage solutions for home buyers across Toronto
Read Case Study
FINANCE
Explore how digital transformation in fintech drives AI, innovation, and better customer experiences, helping financial organizations stay competitive.
Read More
FINANCE
Explore fintech app development cost in 2025, essential features, advanced technologies, and strategies to save money without sacrificing quality.
Read More
FINANCE
Explore the role of AI in FinTech fraud detection, where machine learning and automation help financial firms predict risks and prevent cybercrime.
Read MoreRobo-advisor app development is the process of designing and engineering a digital investment platform that uses algorithms (and often AI/ML) to onboard investors, profile their risk, allocate portfolios, rebalance positions and report performance, with limited or no human advisor involvement. A production-grade robo-advisor includes the user app, the portfolio engine, custodian and market-data integrations, KYC/AML workflows and a compliance reporting layer.
Build custom if the robo-advisor is a strategic product you plan to differentiate, scale to meaningful AUM and own the IP for. License a white-label if you need to launch in 8 to 14 weeks, validate a market segment or extend an existing financial-services brand. The hybrid path (white-label engine, custom front-end) suits banks and super-apps that already own the customer relationship.
You do. Code, models, architecture diagrams and infrastructure-as-code transfer to you. We document IP ownership in the master services agreement before kickoff, with an explicit assignment clause.
An MVP typically takes 3 to 4 months. A mid-tier production build takes 5 to 7 months. An enterprise multi-jurisdiction platform with a hybrid advisor cockpit can take 8 to 14 months. The single biggest variable is integrations: custodians, market data and KYC vendors.
Indicative bands: $40K to $90K for MVP, $100K to $200K for mid-tier, $220K to $500K and above for enterprise. The cost depends on jurisdictional complexity, number of integrations, AI/ML depth and whether the platform is custom or white-label-based.
We map architecture and workflows to the specific regulatory regime your firm operates under: SEC and FINRA in the US, MiFID II and GDPR in the EU, FCA in the UK, MAS in Singapore, ASIC in Australia. We build the technology so your registered firm and your compliance team can satisfy their obligations. We do not file registrations; we make sure the system supports them.
Yes. We are custodian-agnostic and broker-agnostic by design. We have integrated with Apex Clearing, Pershing, Interactive Brokers, DriveWealth and Alpaca for execution; Plaid, Yodlee and MX for aggregation; Onfido, Jumio and Sumsub for KYC; Refinitiv, Bloomberg and Polygon for market data.
Yes. Our white-label robo-advisor platform is configurable to your brand, fee model, jurisdiction and integrations. Banks, RIAs and neo-investment startups use it to launch faster while keeping configuration control.
Yes. Most clients move into a 3 to 6 month post-launch retainer covering performance tuning, model retraining, security patching, new-feature delivery and regulatory updates.
We start with a discovery call (free, mutually NDA'd if needed). If there is a fit, we run a paid 1 to 2 week scoping engagement that produces a written brief, a costed proposal and a risk register. Build follows in 2-week sprints with a working build at the end of every sprint.
